Improvement in Estimating Durations for Building Projects Using Artificial Neural Network and Sensitivity Analysis-Reference-Cited by-同舟云学术

Improvement in Estimating Durations for Building Projects Using Artificial Neural Network and Sensitivity Analysis

Published:2021-07 Issue:7 Volume:147 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Fan Su-Ling¹^ORCID,Yeh I-Cheng²^ORCID,Chi Wei-Sheng³

Affiliation:

1. Director, Research Development Center of Construction Law, Tamkang Univ., New Taipei City 10650, Taiwan, Republic of China; Associate Professor, Dept. of Civil Engineering, Tamkang Univ., 151 Ying-Chun Rd., Tamsui, New Taipei City 10650, Taiwan, Republic of China (corresponding author). ORCID: .

2. Professor, Dept. of Civil Engineering, Tamkang Univ., 151 Ying-Chun Rd., Tamsui, New Taipei City 10650, Taiwan, Republic of China. ORCID: .

3. Master, Dept. of Civil Engineering, Tamkang Univ., 151 Ying-Chun Rd., Tamsui, New Taipei City 10650, Taiwan, Republic of China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0002036

Reference47 articles.

1. Assessment of compressive strength of Ultra-high Performance Concrete using deep machine learning techniques

2. Perceptron Learning in Engineering Design

3. Guess the time of implementation of residential construction projects using neural networks ANN;Al-Zubaidi E. D. A.;Periodicals Eng. Nat. Sci.,2019

4. The management of construction company overhead costs

5. Application of artificial neural network to forecast construction duration of buildings at the predesign stage

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